Room Temperature Based SnO<sub>2</sub>/MoS<sub>2</sub> Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis

Monitoring volatile organic compounds (VOCs), especially acetone, in human exhaled breath is essential for various disease diagnoses such as diabetes, lung cancer, and heart failure. However, the selective detection of acetone in complex gas mixtures under large humidity variations remains a major challenge. This report demonstrates a highly selective SnO2/MoS2 chemiresistive sensor for the detection of acetone in such complex mixtures with relative humidities ranging from 10% to 90% at room temperature. The fabricated acetone sensor exhibited an excellent response ∼13.56% at lower concentrations (100 ppb) of acetone with minimal interference from other tested VOCs (ethanol, methanol, toluene, benzene, and formaldehyde gas). Further, a simulated gas mixture at 90% RH (Relative Humidity) was used to generate a calibration curve for acetone monitoring showing a linear range from 100 to 1000 ppb with a LOD (limit of detection) of ∼26 ppb. Finally, a proof of concept for the detection of acetone in a simulated gas mixture was successfully demonstrated, which paves the way for the noninvasive detection of diseases through human breath analysis.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2024-10-22
DOI
https://doi.org/10.1021/acsaelm.4c01402
Citations
4
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Room Temperature Based SnO2/MoS2 Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis

Sohel Siraj, Parikshit Sahatiya, Frank J. Rybicki, Sameer Sonkusale
4 citations
ACS Applied Electronic Materials
Advanced Chemical Sensor Technologies
0.74
article

Room Temperature Based SnO2/MoS2 Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis

Sohel Siraj, Parikshit Sahatiya, Frank J. Rybicki, Sameer Sonkusale
article en
4 citations

Abstract

Monitoring volatile organic compounds (VOCs), especially acetone, in human exhaled breath is essential for various disease diagnoses such as diabetes, lung cancer, and heart failure. However, the selective detection of acetone in complex gas mixtures under large humidity variations remains a major challenge. This report demonstrates a highly selective SnO2/MoS2 chemiresistive sensor for the detection of acetone in such complex mixtures with relative humidities ranging from 10% to 90% at room temperature. The fabricated acetone sensor exhibited an excellent response ∼13.56% at lower concentrations (100 ppb) of acetone with minimal interference from other tested VOCs (ethanol, methanol, toluene, benzene, and formaldehyde gas). Further, a simulated gas mixture at 90% RH (Relative Humidity) was used to generate a calibration curve for acetone monitoring showing a linear range from 100 to 1000 ppb with a LOD (limit of detection) of ∼26 ppb. Finally, a proof of concept for the detection of acetone in a simulated gas mixture was successfully demonstrated, which paves the way for the noninvasive detection of diseases through human breath analysis.

ACS Applied Electronic MaterialsVol. 6(11)
Tufts University (US), Birla Institute of Technology and Science - Hyderabad Campus (IN), NanoLab (United States) (US), Birla Institute of Technology and Science, Pilani (IN)
Good health and well-being
Openalex Percentile: Top 32%
Advanced Chemical Sensor Technologies
0.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Room Temperature Based SnO<sub>2</sub>/MoS<sub>2</sub> Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis — Sohel Siraj, Parikshit Sahatiya, et al. · ACS Applied Electronic Materials (2024) | TGRS Research Map | TGRS